Deep learning and radiomics in precision medicine

Radiomics and Deep Learning

Protein function in precision medicine: deep understanding with machine learning.

Precision medicine and personalized health efforts propose leveraging complex molecular, medical and family history, along with other types of personal data toward better life. We argue that this ambitious objective will require advanced and specialized machine learning solutions. Simply skimming some low-hanging results off the data wealth might have limited potential. Instead, we need to bett...

Deep phenotyping for precision medicine.

In medical contexts, the word "phenotype" is used to refer to some deviation from normal morphology, physiology, or behavior. The analysis of phenotype plays a key role in clinical practice and medical research, and yet phenotypic descriptions in clinical notes and medical publications are often imprecise. Deep phenotyping can be defined as the precise and comprehensive analysis of phenotypic a...

Radiomics and radiogenomics for precision radiotherapy

Imaging plays an important role in the diagnosis and staging of cancer, as well as in radiation treatment planning and evaluation of therapeutic response. Recently, there has been significant interest in extracting quantitative information from clinical standard-of-care images, i.e. radiomics, in order to provide a more comprehensive characterization of image phenotypes of the tumor. A number o...

Precision medicine, technologies, and molecular diagnostics

Introduction: Genetics, cellular and molecular medicines are cutting-edge sciences and technologies that play an important role in improving human health and quality of life. In addition, medical and biological sciences have clearly shown that the onset of diseases differs from person to person due to their different genetic profiles and variations in molecular basis. Therefore, it is feasible ...